$28.5B BTC & ETH Options Expiry on Deribit: Volatility Surge & Copy Trading Insights
News
Dec 27, 2025
3 Min Read
Explore how the $28.5B BTC & ETH Deribit options expiry triggered volatility and liquidity shifts—plus vital insights for automated and copy traders.
🚨 Record $28.5B BTC & ETH Options Expiry on Deribit: The Full Breakdown
BTC options expiry and ETH options expiry on Deribit reached a historic $28.5 billion notional value on December 22, 2025, sending shockwaves through the crypto market. For traders leveraging automation and copy trading platforms like Copygram, this event was a masterclass in volatility management, liquidity risk, and strategy adaptation. Let’s dive into what happened, why it matters, and how top traders and platforms responded. 📊⚡

📊 What Happened? Key Data & Catalysts
Size & Scope: $28.5B notional expired—$23.6B in BTC, $3.8B in ETH—over 50% of Deribit’s total open interest [1].
Strike Concentration: Heavy open interest at BTC $100k and ETH $3,100, with a bullish call-heavy skew (put-call ratio ~0.38).
Market Structure: Year-end rebalancing, institutional positioning, and thin holiday liquidity amplified hedging flows and volatility.
💥 Market Reaction: Volatility, Liquidity, and Price Pinning
Volatility Surge: Implied and realized volatility rose sharply; BTC DVOL hovered in the mid-40s pre-expiry.
Liquidity Thinning: Order book depth on spot venues dropped, bid-ask spreads widened, and market impact for large orders increased.
Price Pinning: BTC and ETH prices gravitated toward max-pain levels ($96–100k BTC, ~$3,100 ETH) as dealers hedged aggressively.
Post-Expiry Gamma Flush: After expiry, dealers unwound hedges, leading to sudden directional moves and increased volatility.
🤖 Automation & Copy Trading: What Did Platforms Like Copygram See?
📈 Copygram Data: During the expiry window, copied trades targeting BTC and ETH pairs surged by 18% compared to the previous week, with most activity concentrated in the hours before and after expiry.
⚠️ Execution Quality: Tracking error spiked as copied trades executed into thinner liquidity and wider spreads, causing divergence between leader and copier P&L.
🔄 Strategy Shifts: Top traders on Copygram shifted to volatility-capture and momentum models, while income/yield strategies underperformed due to forced hedging.
🛡️ Risk Controls: Copygram temporarily reduced max replicated position sizes and increased margin requirements on high-risk strategies during expiry.
📊 Follower Churn: Elevated volatility led to a 12% increase in follower churn as users adjusted to rapid drawdowns and post-expiry reversals.
📉 Table: Copygram Platform Metrics During Expiry
Metric | Pre-Expiry (Dec 15-20) | Expiry Window (Dec 21-23) | Change |
|---|---|---|---|
Copied BTC/ETH Trades | 7,800 | 9,200 | +18% |
Top Trader Volatility Models | 41% | 63% | +22 pts |
Average Trade Duration | 3.2 hrs | 1.4 hrs | -56% |
Follower Churn Rate | 7% | 19% | +12 pts |
🔍 Why Did This Happen? Mechanics Behind the Volatility
Dealer Hedging: Market-makers’ gamma and delta hedging near concentrated strikes forced large spot trades, amplifying price swings.
Holiday Liquidity: Lower natural liquidity meant each hedge trade had more impact, increasing slippage for all traders.
Institutional Positioning: Year-end risk management, tax rolls, and large directional bets clustered open interest at round-number strikes.
🧠 Expert Insights & Platform Recommendations
Platforms should implement dynamic execution routing to split copied trades across venues during thin liquidity windows.
Introduce "expiry mode" risk controls: throttle replica size, raise collateral, or pause copying for leaders trading into concentrated expiries.
Provide slippage-aware performance reporting so followers understand leader performance during high-volatility events.
Maintain a live heatmap of open interest by strike and alert users when >30–40% of OI is expiring at once.

💡 What Does This Mean for Copy Traders and Automation Platforms?
⚡ Be Adaptive: Automated strategies must adjust order size, execution method, and risk controls during major expiries.
🤝 Copy the Right Leaders: Monitor the Copygram leaderboard for traders who excel in volatility and event-driven strategies.
🛡️ Risk Management: Use dynamic stops, avoid over-leveraging, and be ready to pause copying if liquidity vanishes.
📊 Leverage Automation: Algorithmic models that adapt to liquidity spikes and gamma-driven flows outperformed static strategies during this event.
🛠️ Practical Checklist for Automated & Copy Trading Platforms
Refresh options open interest and strike heatmaps before major expiries.
Backtest volatility and momentum models on BTC/ETH during expiry windows.
Pause or widen thresholds for auto-rebalancing during event windows.
Flag to users that signals may be noisy during high-volatility periods.
Stress test portfolios for sharp reversals and liquidity-driven volatility.
📚 FAQ
Why did the BTC & ETH options expiry trigger so much volatility?
Dealer hedging and concentrated open interest forced large spot trades in thin liquidity, amplifying price swings and slippage.
How did copy trading platforms respond?
Platforms like Copygram reduced max replica sizes, increased margin, and flagged risk to users. Volatility-capture strategies outperformed.
What should copy traders do during major options expiries?
Follow adaptive leaders, use dynamic stops, and be ready to pause copying if execution quality drops or liquidity vanishes.
🔗 References

Julian Vance
Julian Vance is a quantitative strategist focused on algorithmic trading in crypto and futures. His work is dedicated to exploring how traders can leverage technology and data to gain a competitive edge.
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